Volume 08, Issue 11, Feb 2023
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A Study on Global Scenario of Tourism (With Special Reference to G20 Countries) Srashti Sahu, Dr. D.K. Nema
Tourism Sector is one of the world’s largest and fastest growing industry. Indeed, Tourism is a dynamic force homogenizing societies across the globe. It is promoted as a positive means of economic development. The study conducted to know about the global scenario of tourism sector by taking into consideration the group of world’s strongest economy i.e., G20 Nations Group. This particular study focus on to analyze the contribution
A Study on Global Scenario of Tourism (With Special Reference to G20 Countries)
Srashti Sahu, Dr. D.K. NemaDOI : 10.35291/2454-9150.2023.0021
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A Novel Approach for Enhancing Cloud Based IoT SecurityUsing Cloud Administration Anil Tellur, Y.Prakash
The Internet of Things (IoT) gives another worldview to the advancement of heterogeneous and appropriated frameworks, and it has increasingly twisted keen on a universal figuring administration phase. However, the absence of adequate figuring and stockpiling possessions committed to the handling as well as stockpiling of enormous volumes of IoT information, it will in general embrace a cloud-based plan to resolve the issue of asset
A Novel Approach for Enhancing Cloud Based IoT SecurityUsing Cloud Administration
Anil Tellur, Y.PrakashDOI : 10.35291/2454-9150.2023.0022
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Response Time Optimization in Cloud Using Artificial Honey Bee Colony Inspired Load Balancing Strategy Brototi Mondal
Cloud computing deals with massive amount of data transfer to and from the server, because it involves realtime resource provisioning. Most businesses are moving their operations to the cloud due to flexibility. Service providers are building new data centers to accommodate the growing demand for their services from customers. The majority of the resources are virtualized, and virtual machines (VMs) are one of the key components of virtualization
Response Time Optimization in Cloud Using Artificial Honey Bee Colony Inspired Load Balancing Strategy
Brototi MondalDOI : 10.35291/2454-9150.2023.0023
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Machine Learning Algorithms and Real World Application Asmita Sharma, Bharat Pal Singh
In the current Era of Fourth Industrial Revolution (Industry 4.0), the considerable information is in the form of digital data. To extract some useful information and intelligently analyze the information for automated applications on large scale, Integral part of AI i.e. Machine learning is used. Machine learning (ML) is a branch of artificial intelligence (AI) that provides computer systems the ability to automatically learn and improve from experience
DOI : 10.35291/2454-9150.2023.0024
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Secure File Storage in Cloud Using Hybrid Cryptography Meher Sudhakar, K.Sai Praneeth, Mrs. M. Revathi
Cloud computing has roots in earlier distributed computing technology that can be quickly and easily set up and taken down with little involvement from the user or service provider. Unlike traditional computing, where software and files are stored locally on the user's device, cloud computing stores these files on the service provider's servers, leading to potential security concerns. To address this, cloud providers can use encryption techniques like AES, DES
Secure File Storage in Cloud Using Hybrid Cryptography
Meher Sudhakar, K.Sai Praneeth, Mrs. M. RevathiDOI : 10.35291/2454-9150.2023.0025
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A study on paradigm shift towards digital marketing amid pre-post Covid-19 pandemic Harleen Kaur, Jasnoor Kaur, Nupur
The present paper attempts to study the consumer attitudes towards digital marketing. It aims to study the impact of COVID-19 on digital marketing. Further, it gives an insight into the factors affecting consumer behavior towards digital marketing. The research study was conducted during May 2021 Student’s t distribution was used to study the difference in consumer behavior towards digital marketing during pre and post lockdown period
A study on paradigm shift towards digital marketing amid pre-post Covid-19 pandemic
Harleen Kaur, Jasnoor Kaur, NupurDOI : 10.35291/2454-9150.2023.0026
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Impacts of NPA on Profitability of selected Public Sector Banks and Private Sector Banks in India – A Comparative Study Dr. Dipa S. Tank
The banking sector has undergone a huge change after the economic reforms of 1991. A healthy and sound banking system is very essential for economic development of the country. Non-Performing Assets (NPA) is the best indicator for the health of the banking sector. It affects the performance of the banks. Lower NPAs of banks show better performance and management of funds and higher NPAs show inefficiency of the bank
Impacts of NPA on Profitability of selected Public Sector Banks and Private Sector Banks in India – A Comparative Study
Dr. Dipa S. TankDOI : 10.35291/2454-9150.2023.0027
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Thermo graphic imaging-based Breast Cancer Diagnosis using Deep Learning Solanki Bhvya, Bela Shrimali
Breast cancer is the most common invasive cancer, killing thousands of women worldwide every year Early detection is also a means of reducing mortality. Therefore, early detection of breast cancer is particularly important. However, in developing countries, few people can afford screening and testing procedures due to high costs. Thermography is therefore an effective and less expensive method of detecting breast cancer
Thermo graphic imaging-based Breast Cancer Diagnosis using Deep Learning
Solanki Bhvya, Bela ShrimaliDOI : 10.35291/2454-9150.2023.0028
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Design and hardware implementation of generation of PWM based on microcontroller Neha Satishkumar Shah
Aiming at the demand of PWM pulse generation in the field of power electronics, measurement and control so on. In this paper hardware circuit of pulse generation of PWM based on PIC microcontroller is designed and tested by varying on-off cycle, we can change the pulse width
Design and hardware implementation of generation of PWM based on microcontroller
Neha Satishkumar ShahDOI : 10.35291/2454-9150.2023.0029
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The Object Recognition Voice Assistant for Visually Impaired People Mr. P. Ravinder Rao, G. Taruni, D. Meghanand Reddy, Md. Azeem Hussain
Image processing is the procedure of performing any task on a picture to make it suitable for retrieving relevant information. This relevant information consists mostly of properties or qualities of the picture sent into the camera module. The image processor's output is then used to detect different items in the image that used an object recognition computer vision approach. Object identification techniques use machine learning to find numerous patterns
The Object Recognition Voice Assistant for Visually Impaired People
Mr. P. Ravinder Rao, G. Taruni, D. Meghanand Reddy, Md. Azeem HussainDOI : 10.35291/2454-9150.2023.0030
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Optimizing Production Efficiency: A Case Study on Machine Downtime Analysis and Implementation of Quality Control Tools and Action Plans Achal Kandoi, Jatin Makwana
This case study examines the application of Quality Control tools in identifying and addressing the root causes of machine downtime in a manufacturing company. The company was facing challenges with machine downtime, impacting efficiency and productivity. The study employed QC tools such as the Pareto principle and cause-and-effect diagrams to analyze and identify the underlying causes of downtime. The study's results demonstrate
Optimizing Production Efficiency: A Case Study on Machine Downtime Analysis and Implementation of Quality Control Tools and Action Plans
Achal Kandoi, Jatin MakwanaDOI : 10.35291/2454-9150.2023.0031
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Women’s empowerment through dairy farming in Kerala: a study on some selected areas of Wayanad district Dr. Rejitha P R
The present study was conducted to identify the women’s empowerment through small-scale dairy farming in Wayanad District of Kerala. Small-scale dairy farm women owners with 2 to 5 cattle constituted the population of the present study. Among the population, the households who were actively engaged in dairy farming activities more than two years in the selected area of Wayanad district were considered as the sample unit
Women’s empowerment through dairy farming in Kerala: a study on some selected areas of Wayanad district
Dr. Rejitha P RDOI : 10.35291/2454-9150.2023.0032
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E Waste Handling Practices & Challenges: A Sustainable Approach MOHD TALHA AHMAD, DR. AMOL MURGAI
Electronic waste, sometimes known as e-waste, is the term for abandoned gadgets and appliances that have outlived their usefulness. The volume of e-waste generated globally has increased significantly as a result of the quick development of technology, creating a problem for proper processing and disposal. Effective e-waste treatment procedures are required to safeguard the environment and general population from the potentially harmful materials
DOI : 10.35291/2454-9150.2023.0033
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Empirical Evaluation and Prediction of Crop Yield Process Using Machine Learning Methodology Dr. Vineetha K.R, Hiba mol C
Agriculture is the most important thing for survival. The perspective of machine learning, or ML, may be a crucial onein the search for a viable and practical solution to the crop yield issue. Given the current method, which uses satellite imagery, climate-smart pest management, and manual counting, the results aren't particularly accurate. The primary objective of this study is to forecast agricultural production using a variety of machine learning methods
Empirical Evaluation and Prediction of Crop Yield Process Using Machine Learning Methodology
Dr. Vineetha K.R, Hiba mol CDOI : 10.35291/2454-9150.2023.0034
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Performance of Shredded Tyre Waste Based on Black Cotton Soil Dr. G. Hathiram, U. Sravani, A. Pavan Kalyan, E. Jagan Kumar
Due to its poor bearing ability and tendency to shrink, black cotton soil makes a bad foundation material for paving. Various ground enhancement procedures have been used in the past to increase the load bearing capacity of black cotton soil. Rubber tyre shred (RTS) from waste has been used as the reinforcement material in the current investigation. Chemical solutions are used to RTS in order to establish an adhesive property
Performance of Shredded Tyre Waste Based on Black Cotton Soil
Dr. G. Hathiram, U. Sravani, A. Pavan Kalyan, E. Jagan KumarDOI : 10.35291/2454-9150.2023.0035
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A Relative Study On Green Chemistry Approach, Environment and Pandemic Covid-19 Preeti Bisen
The COVID -19 pandemic has globally killed people all over world. As a matter of urgency, a research study has promptly focused on remedial and preventive measures. It has been observed that environmental factors such as climate change and pollution that have more or less directly favored the pandemic. Directly or indirectly the pandemic has affected the environment. This research work reveals how green chemistry approach sustains the deteriorating environment
DOI : 10.35291/2454-9150.2023.0036
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Drone Application for Visual Inspection and Surveying: The Case of High-Rise Residential Buildings in India Abdussalam Shibani, Araz Agha, Karthik Ambati, Dyaa Hassan
An unprecedented growth in the development of high rises is started in Indian metropolitan areas. However, construction projects are delayed due to a lack of technological advancements and accidents because of inadequate safety. Thus, the importance of drones in inspecting high rises is discussed in this study. Drone inspections are better than traditional inspection modes as they deliver more accurate data by utilising digital software
Drone Application for Visual Inspection and Surveying: The Case of High-Rise Residential Buildings in India
Abdussalam Shibani, Araz Agha, Karthik Ambati, Dyaa HassanDOI : 10.35291/2454-9150.2023.0037
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A Study of Perception Towards Digital Payment Adoption in Sagar City of Madhya Pradesh Pankaj Kumar Jhariya, Dr. Shalini Choithrani
The financial sector has recently witnessed the growth and adoption of technological innovations in the financial sector. From payment to lending, technology has tapped every segment of the financial services sector. Digital payment is one of the segments which has shown tremendous growth in India. The use of digital payment for every transaction has become a trend among the young generation nowadays. The objective of this paper is to Analyse consumer
A Study of Perception Towards Digital Payment Adoption in Sagar City of Madhya Pradesh
Pankaj Kumar Jhariya, Dr. Shalini ChoithraniDOI : 10.35291/2454-9150.2023.0018
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A Method for Perceiving Multiple Traffic Scenes Using Supervised Learning Dr. Ravindra E, Chandana G K
Traffic collisions are especially dangerous on wet days, at nights where there are no streetlights, on gloomy, rainy nights, on windy days, and in several other low wind situations. The current generation of vision-based systems that assist drivers is built to function in every kind of environment. In order to improve the effectiveness with identify possible technologies, classification is a process used to determine the kinds of retinal features
A Method for Perceiving Multiple Traffic Scenes Using Supervised Learning
Dr. Ravindra E, Chandana G KDOI : 10.35291/2454-9150.2023.0019
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Constitutional Amendments: Wounds on the soul of the original Indian constitution Dr (Lt Col) Anil Balhera, Dr Anand Kumar
The Constitution of India is famous for being the longest among the written constitutions worldwide with a reasonably long Preamble, 395 articles augmented by more additions than deletions through amendments and 12 Schedules, some of them very long. In the family of Constitutions, the Constitution of India is said to belong to the Euro –American tradition. As regards its length, early commentators on the Constitution
Constitutional Amendments: Wounds on the soul of the original Indian constitution
Dr (Lt Col) Anil Balhera, Dr Anand KumarConstitutional Amendments: Wounds
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Intrusion Detection System Using Various Machine Learning Approaches with Ensemble Learning: A Systematic Review Ms. Pragati V. Pandit, Dr. Shashi Bhushan, Dr. Pratibha V. Waje
although feature filtering-based network intrusion detection systems have some drawbacks that make it difficult for security managers and analysts to detect and stop network intrusions in their enterprises, recent years have seen a surge in advanced threat attacks. Using methods for detecting intrusions, information systems are routinely safeguarded and damage is reduced. It safeguards against threats and flaws in physical and virtual computer networks
Intrusion Detection System Using Various Machine Learning Approaches with Ensemble Learning: A Systematic Review
Ms. Pragati V. Pandit, Dr. Shashi Bhushan, Dr. Pratibha V. WajeIntrusion Detection System Using Various Machine Learning
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A Study of an Innovative and Creative Approach of Gandhiji’s Nai Talim on the Skill Development of Students Dr. Mamta Sharma
Traditional and colonial forms of education that emphasized literacy and abstract, text-based knowledge were the domain of the upper castes. Gandhi's proposal to make handicrafts the center of his pedagogy was aimed at a "radical restructuring of the sociology of school knowledge in India", in which the 'literate' of the lower castes – such as spinning, weaving, leatherworking, pottery, metalworking, etc. work, making baskets and binding books
A Study of an Innovative and Creative Approach of Gandhiji’s Nai Talim on the Skill Development of Students
Dr. Mamta SharmaA Study of an Innovative and Creative Approach
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Teacher’sAttitude towards the use of Information Communication Technology of Normal and Disabled Schools Mrs. Khushbu Diwan, Dr. Padma Bohre
In the present researcher has studied teacher’s attitude towards the use of information communication technology of Normal and in disabled schools. Under which the attitude towards the use of information communication technology of male and female teachers of normal and disabled schools. In the present study, survey method has been used under descriptive research. In the present study from 200 teachers of Normal and disabled schools
Teacher’sAttitude towards the use of Information Communication Technology of Normal and Disabled Schools
Mrs. Khushbu Diwan, Dr. Padma BohreTeacher’sAttitude towards the use of Information
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Emerging Trends and Challenges of Employee Retention in Health Care Sector Prof. D. Sreeramulu, K.Rakhi
Employee Retention is a challenging concern of the organization. This study stressed on Employee Retention strategies, Reasons of Employees Quitting the Organization, Emerging Trends and Challenges. Employees are the assets of the organization. To retain skilful and committed employees in the organization, management should take care of employee satisfaction. The purpose of this study is to identify how employee retention is essential
Emerging Trends and Challenges of Employee Retention in Health Care Sector
Prof. D. Sreeramulu, K.RakhiEmerging Trends and Challenges of Employee
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Impact of Job Involvement on in-Role Performance Appraisal and Organizational Citizenship Behaviour Dr.V. Balachandran, Dr. P.Kavitha
This examine examines the effect of job involvement at the self-file measures of in position overall performance appraisal and organizational citizenship behaviour. The effects of this examine found out that job involvement become definitely correlated with each in-position overall performance appraisal. In addition to this it become determined that overall performance partly mediated the job
Impact of Job Involvement on in-Role Performance Appraisal and Organizational Citizenship Behaviour
Dr.V. Balachandran, Dr. P.KavithaImpact of Job Involvement on in-Role Performance
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Digital Humanities Dr. Urinder Kaur Saini
1940s and 1950s were the periods when the concept of Digital Humanities made its first appearance in the works of Jesuit scholar Roberto Busa an English professor Josephine Miles . Following the footsteps of these two masters, other scholars also started using computers to automate tasks like word-searching, sorting and counting and much more. Decades to follow , we mark many archaeologists , historians and literary scholars applying computational methods
Digital Humanities
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Comparative Analysis and Validation for Cyber Forensic Model using the NSL-KDD Dataset Sagargouda S Patil, Dr. Dinesha H A
Social media platform like twitter are facing the problems of the spam. In twitter fake users send undesired tweets to users to promote different services. The spam generally composed of malicious URLs, users that may steal your personal info, and hack accounts, which might be used for fraudulent activity. Also, nowadays, there are many websites on the internet which are being used for sharing the information, connecting people
Comparative Analysis and Validation for Cyber Forensic Model using the NSL-KDD Dataset
Sagargouda S Patil, Dr. Dinesha H AComparative Analysis and Validation for Cyber
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A Comparative Analysis of Existing Lie Detection Techniques Over Newly Proposed Approach Debanil Chanda, Rakesh Kumar Mandal
Telling lie is very common in our society, especially during interpersonal communication. And people are very curious in finding truth. In the recent years, lie detection is a very interesting and challenging fields for researchers. Although various lie detection techniques are used from years, the main aim of this paper is to compare different existing lie detection techniques and propose a more efficient and reliable method for detection
A Comparative Analysis of Existing Lie Detection Techniques Over Newly Proposed Approach
Debanil Chanda, Rakesh Kumar MandalA Comparative Analysis of Existing Lie Detection
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A Study on Financial Literacy among Millennials in Mysore City Shyamala G, Dr. R. Mahesh
Financial system influences the economic development of any country. Every generation affects the economy, but generation–Y or millennials have grown up with respect to rapid economic change, which provided them wider career opportunities compared to previous generations. Financial literacy plays a vital role for accomplish the financial goals of the millennials and assist to make financial decisions
A Study on Financial Literacy among Millennials
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Neural Network Based Image Classifier for Nuts and Bolts Faizan Muneer, Amritpal Singh
The fundamental objective of the work is to develop a system that will be beneficial in the mechanical sector for the recognition of bolts and nuts. The aim of the study is to develop an image processing algorithm using principal component analysis to deliver standardized pictures which can be utilized as inputs for processing and detection. The Spyder software integrates all algorithms. This application also warrants a prototype which replicates
Neural Network Based Image Classifier
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Adversarial Examples Generation and Mitigation in Deep Neural Networks Harvish Jariwala, Nancy Radadia
A trillion-crease expansion in calculation power has promoted the use of profound learning (DL) for dealing with an assortment of AI (ML) errands, like picture order, normal language handling , and game hypothesis. Notwithstanding, a serious security danger to the current DL calculations has been found by the exploration local area: Adversaries can undoubtedly trick DL models by irritating harmless examples without being found by people
Adversarial Examples Generation and Mitigation in Deep Neural Networks
Harvish Jariwala, Nancy RadadiaAdversarial Examples Generation and Mitigation
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Prognosis of Rolling Element Bearing Using LSTM Neural Network Shubham Kate, Sharad Gaikwad, Ajeet Patil
Rolling element bearing is crucial component in mechanical system. It is subjected to challenging conditions which leads to rapid wear and tear in bearing. If such deterioration is not addressed, the overall system has risk of failure or breakdown. Prognostics uses prediction techniques to estimate the failure point of a system. RUL prediction techniques can be classified into two categories. Physics-based methods estimate the remaining time
Prognosis of Rolling Element Bearing Using LSTM Neural Network
Shubham Kate, Sharad Gaikwad, Ajeet PatilPrognosis of Rolling Element Bearing
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On Assessment of Nonlinear responses of Medium-rise 3D RC Frames using Performance Evaluation Methods suggested in FEMA 440 Param Balaji Bachewar, Mohd. Zameeruddin
It has become necessary to evaluate the seismic capability of medium-rise buildings to quantify the associated repairs, casualties and downtime of usage of property for a predefined seismic hazard. This ensures safety for both structure and occupants life. The present study focuses on a parametric analysis of nine storied 3D-bare frame using performance-based seismic evaluation procedures
On Assessment of Nonlinear responses of Medium-rise 3D RC Frames using Performance Evaluation Methods suggested in FEMA 440
Param Balaji Bachewar, Mohd. ZameeruddinOn Assessment of Nonlinear responses
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A Comparative Study of Financial Analysis of Telecom Industry Dr. Meenu Baliyan, Punjika Rathi, Ishika Singhal
The telecommunication plays a significant role in today’s market. In the last decade a dramatic change in the ownership structure of telecommunications companies has taken place, from public (state-owned) monopolies to private companies. Every industrialist must understand the industries in which they operate to ensure continued success. The financial performance of a business concern usually revealed the health
A Comparative Study of Financial Analysis of Telecom Industry
Dr. Meenu Baliyan, Punjika Rathi, Ishika SinghalA Comparative Study of Financial Analysis
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ONLINE BOOK STORE SANCHANA.R, KARMUGIL.K, Deepika.S, Nikitha.V
Online book store is a web application where the customers can purchase the books through online. The main objective of this project is to create an online book store. The online book store allows the user to search the books based on the title, author and by category finally allows the user to purchase the books through online. The user can login using his or her account details. The new customers can create an account quickly
ONLINE BOOK STORE
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Prediction of Thyroid Using Machine Learning Techniques Shiva Ranjani J, Monica S, Suhas Shetty
Thyroid disease is one of the leading causes of the emergence of medical diagnosis and prognosis, and its inception is a difficult medical research axiom. The thyroid gland is one of our body's most important organs. Thyroid hormone secretion is caused by metabolic regulation. Hyperthyroidism and hypothyroidism are two of the most common thyroid gland disorders. The thyroid gland produces thyroid hormones and regulates the body's metabolic rate.
Prediction of Thyroid Using Machine
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Characterization of Epoxy Matrix Based Polymer Composite with Hair Filler Dikshant Nitnaware, Prof. B.D. Aldar
Composite materials are perfect for structural applications that demand a high strength-to-weight ratio. Composite materials are cost-effective in weight-sensitive systems like aircraft and spacecraft. Manufacturing methods, anisotropy, elasticity, material strength, and micromechanics are all subjects included in the research of composite materials. The goal of this research is to investigate the possibilities of Human Hair fibre polymer
Characterization of Epoxy Matrix Based Polymer Composite with Hair Filler
Dikshant Nitnaware, Prof. B.D. AldarCharacterization of Epoxy Matrix Based
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Estimation of Peak Flood for Durgawati Dam Located in Bihar State (INDIA) Amit Kumar, Sitender Chhillar, Ritesh Kumar
This paper describes the procedure for the estimation of 100 Year return period Flood using Flood Estimation Report for Sone Sub Zone – 1(d) by Central Water Commission (CWC), New Delhi. The Dam project for which the estimation of the flood has been carried out is Durgawati Dam project, which is in Kaimur district in the Indian state of Bihar. With the help of Flood Estimation Report of CWC, 25/50/100 year return period flood.
Estimation of Peak Flood for Durgawati Dam Located in Bihar State (INDIA)
Amit Kumar, Sitender Chhillar, Ritesh KumarEstimation of Peak Flood for Durgawati Dam
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Performance Analysis of Muscular Paralysis Diseaseusing Machine Learning Sharavathi M H, Mamatha R
Electromyography has been used for many years in regulating paralyzed power limb. Captured and Processed EMG is an indication of human movements. EMG signal (called as Mayo signal) will be captured by various wireless sensor of low power, Bluetooth, and small interference. In this paper, the combined time and frequency analysis has been carried out to extract the required features using Wavelet Transform tools using
Performance Analysis of Muscular Paralysis
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Embankment Breach Analysis of Durgawati Dam Using HEC RAS Software Amit Kumar, Sitender Chhillar, Ritesh Kumar
This paper describes the Embankment Breach analysis of Durgawati Reservoir Dam (also known as Karamchat Dam), which is located in Kaimur district in the Indian state of Bihar. The Dam Breach analysis has been performed on HEC RAS software. HEC-RAS is a computer program developed by the United States Army Corps of Engineers. To perform the Dam Breach analysis, various other software has been used such as Google Earth and Global Mapper
Embankment Breach Analysis of Durgawati Dam Using HEC RAS Software
Amit Kumar, Sitender Chhillar, Ritesh KumarEmbankment Breach Analysis of Durgawati
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Impact of Covid-19 On Startups & Local Economy Kshitij Garg
The role of startups in economic prosperity is increasing in today’s world as it brings out the hidden entrepreneur in a person and also provide new innovations, new jobs and competitiveness to the business environment. Start-up entrepreneurs work closely with new technological innovation in order to improvepeople’s welfare and provide solutions to current issues. Despite the high risk associated with starting a business.
Impact of Covid-19 On Startups
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Implementation of Wavelet based Thresholding Technique for Denoising an Image Mamatha R,Sharavathi M H
The image naturally corrupted with noise is the most classical problem in the field of image processing. Random noise can be easily removed by utilizing simple threshold methods. De-noising of the natural images distorted by the Gaussian noise using wavelet technique is the very efficient technique because of its ability to capture the energy of a signal in few energy transform value. The wavelet based denoising scheme thresholds
Implementation of Wavelet based Thresholding Technique for Denoising an Image
Mamatha R,Sharavathi M HImplementation of Wavelet based Thresholding
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Database Systems Performance Evaluation for Cloud Applications Suhas Shetty, Monica S, Shiva Ranjani J
As Cloud applications spread throughout smart city appliances, industry, and agriculture, the volume of data saved in Cloud databases grows. Large volumes of actuator and sensory data must be processed in real-time or interactively by modern database systems. Database providers are battling this first wave of the Cloud revolution on a daily basis to expand their market share, create new capabilities, and try to fix the flaws
Database Systems Performance Evaluation for Cloud Applications
Suhas Shetty, Monica S, Shiva Ranjani JDatabase Systems Performance Evaluation
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Kidney Stones Detection using Image Processing & Deep Neural Networks Sai Manohar Vemuri, Kolli Sesha Shai Datta, Pavan Sai Vatrapu
Kidney Stones have been a big problem in recent years, and if not found early, they can cause difficulties, necessitating surgery to remove the stone. Volumetric measurements of kidney stones are more useful and repeatable than linear measurements, according to previous research. Deep Learning-based algorithms that use non-contrast abdominal computed tomography (CT) scans may help detect stones and reduce the workload
Kidney Stones Detection using Image Processing & Deep Neural Networks
Sai Manohar Vemuri, Kolli Sesha Shai Datta, Pavan Sai VatrapuKidney Stones Detection using Image
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Design and Analysis on Rear Axle Housing of a Truck J. Surya Prasad, K. Sunil Ratna Kumar
Axle housing is one of the main component to play vital role in the various automobiles which is placed to rear end at the vehicle and carries different loads and stresses both static and dynamically at the same time transmit the power. Both the front and rear axle openings have centre housing. This project analyzing the static and model analysis of rear axle housing on different materials like steel, aluminium alloy
Design and Analysis on Rear Axle
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A Study on the application of Capital Asset Pricing Model on selected NIFTY 50 Stocks Kaniganti Rajesh, Mrs. M Sangeetha
The Capital Asset Pricing Model (CAPM) is a general equilibrium market model evolved to analyze the relationship between risk and required rates of return on assets when they are held in well-diversified portfolios. As a result, a security's only impact on market risk is through its systemic risk; however, measuring systematic risk does not reveal whether or not stocks are accurately priced. Risk and return are related
A Study on the application of Capital Asset Pricing Model on selected NIFTY 50 Stocks
Kaniganti Rajesh, Mrs. M SangeethaA Study on the application of Capital Asset
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Gandhian Educational Thoughts and an Awakening of Spiritualism Ananya Mondal
Religion is an institution established by man for various reasons. Exert control; instill morality, stroke egos, or whatever it does. Whereas Spirituality is a complete control over the conduct of human beings. It is the awakening of inner sense and manifestation of the perfection and divinity in men. The meaning of spirituality has developed and expanded over time, and various connotations can be found alongside each other
Gandhian Educational Thoughts and an Awakening
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Finite Element Analysis of Buckling Capacity of Pretwisted Steel Bars: A Review Athira S Babu, Dr. Anu James
Any structure's support system is its column, which bears the weight of all the other structural parts. They thus constitute a crucial component of any structural design. Because of structural instability, buckling is the major form of failure for compression members. Pretwisted bars are those that have had their central axis twisted, strengthening the weak flexural plane and weakening the strong flexural plane.
Finite Element Analysis of Buckling Capacity of Pretwisted Steel Bars: A Review
Athira S Babu, Dr. Anu JamesFinite Element Analysis of Buckling Capacity
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Effect of a persuasive message on prosocial behavior among adolescents Dr. Saranya TS, Munish Kumar
Helping others is a character choice, however many times, outside elements have an effect on our selection to help others. A small message or video can maximum of the time impact human beings to be concerned in greater prosocial sports like donating cash for a social cause, agreeing for organ donation, blood donation, etc. The researchers attempted to discover the impact of the persuasive message on teenagers’ selection.
Effect of a persuasive message
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Impact of education on community development in duvvada village of visakhapatnam district Dr. Ch. Asha Kiran Raju, Prof. T. Sobha Sri
Over the last decade or so, the concept of social capital has grown in importance in relation to a number of related fields of study, including the identification of factors influencing educational attainment, explanations of differing levels of participation in formal and informal education, and conditions required for the construction and enhancement of institutions and practises conducive to lifelong learning
Impact of education on community development in duvvada village of visakhapatnam district
Dr. Ch. Asha Kiran Raju, Prof. T. Sobha SriImpact of education on community
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Digital Terrain Analysis of Tapi River Basin in Gujarat, India Gunjan R. Chauhan, Hiren Kumar J. Chaudhari
With the new advancements in GIS techniques and better computer aid, the projects that require field exploration, can now be carried out digitally with ease. In the present paper a digital terrain analysis is performed using QGIS software with SAGA plugin. QGIS version 3.22.2 and SAGA 7.8.2 is utilized in present study. The study area is of Tapi river basin in Gujarat which is Surat district. The raw data is collected
Digital Terrain Analysis of Tapi River Basin in Gujarat, India
Gunjan R. Chauhan, Hiren Kumar J. ChaudhariDigital Terrain Analysis of Tapi
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Water Demand Assessment: A case study of Cantonment area Agra Rajat Diwakar, Raghvendra Singh, Kamini Yadav, Shivam Dhakre, Devesh Jaysawal
Water is the lifeline for nature and human. Water is the first essential thing that human need. Scarcity of potable water is a big problem in Agra region because ground water of Agra is not drinkable due to excess hardness and saline taste and Yamuna river which is flowing through Agra is heavenly polluted. Ganga Jal supply is a big project launched in 2020 which has been corrected this deficiency on a large extent.
Water Demand Assessment: A case study of Cantonment area Agra
Rajat Diwakar, Raghvendra Singh, Kamini Yadav, Shivam Dhakre, Devesh JaysawalWater Demand Assessment
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Socio Economic Condition of Tuk-Tuk Drivers and Problem Related to Tuk-Tuk Driving Mousumi Das
Nowadays, E-Rickshaw is new the most popular short-distance mode of transport in the urban transport system, locally called Tuk-Tuk. This has made it possible to transport people and goods from one place in the city to other. It is an eco-friendly transportation system. Many people from different wards of Berhampore Municipality have found a new way to earn a living through it. But, unplanned urbanization, lack of road space.
Socio Economic Condition of Tuk-Tuk
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Biomedical Waste Segregation and Management Nita Patil, Aniket Wagh, Pintu Mishra, Subodh Shinde, Aniket Koli
Hospitals have been producing waste on a very large scale. The corresponding waste is of many types like wet, dry, metallic, and so on. So, segregation of waste becomes a prominent factor since segregating waste at the dumping ground is burdensome and usually ineffective. This paper aims to design such a model for the segregation of waste in mainly 3 categories such as non-metallic dry, non-metallic wet, and metallic waste
Biomedical Waste Segregation and Management
Nita Patil, Aniket Wagh, Pintu Mishra, Subodh Shinde, Aniket KoliBiomedical Waste Segregation and Management
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Elasto-Plastic Analysis of Multi-Storey Building using BIM Kiran N. Hatwar, Mr. Sanjay K. Bhadke, Mr. Amey R. Khedikar
The construction industry is moving towards digitalization, with greater amount of information being stored digitally. This development is being addressed by Building Information Modelling (BIM) technology. BIM is process of creating virtual building model which is parametric in nature, supporting collaboration among different specialists, provides the ability to analyse the building in simulated 3-D environment
Elasto-Plastic Analysis of Multi-Storey Building using BIM
Kiran N. Hatwar, Mr. Sanjay K. Bhadke, Mr. Amey R. KhedikarElasto-Plastic Analysis of Multi
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Effective Fare Prediction using Machine Learning Algorithms Dr. K Anuradha, Ashika Jayaraj
Predictive analytics makes use of historical data to forecast future events. Past data is typically used to create a mathematical model that captures significant trends. The predictive model is then used to current data in order to forecast the future or advise actions to take in order to achieve the best results. Due to advancements in supporting technology, particularly in the fields of big data and machine learning
Effective Fare Prediction using Machine
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Smart Disease Predictor Using Machine Learning Navaneetha Krishnan M, Prasanth G, Gowtham R
Most of the present machine studying sickness prediction models for health care prediction focus on a single illness per analysis. One analysis may be for heart illness, another for cancer, and still another for diabetic problems. There's no single system in which one evaluation can carry out multiple disease illness prediction. This article proposes a system that uses machine learning and the Flask API to forecast numerous illnesses.
Smart Disease Predictor Using Machine Learning
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Criminal Face Detection Navaneetha Krishnan M, Kiyasudeen Jamal M
A surge of organised crime activity is likely to try to weaken our law enforcement and defence agencies. In this case, technology plays a critical role. Video analytics is one facet of law enforcement's use of technology, and video analytics contains several components. Identifying patterns in different videos is one of the components. The goal is to study a 30-minute movie and capture the faces of the individuals in it.
Criminal Face Detection
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Impact of Digital Marketing Strategies on The Marketing Effectiveness and Customer Satisfaction Dr. P. Jayarani, Mrs. Sonti Sushila Kishor
Online advertising is a hard and fast of effective equipment and methodologies used for selling merchandise and carrier thru the net. Online advertising consists of a much broader variety of advertising factors than conventional enterprise advertising because of greater channels and advertising mechanism to be had at the net. Online advertising is marketing and marketing and advertising the goods
Impact of Digital Marketing Strategies on The Marketing Effectiveness and Customer Satisfaction
Dr. P. Jayarani, Mrs. Sonti Sushila KishorImpact of Digital Marketing Strategies
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Infrastructural Problems of Employees in Banking Services Dr. Anand T. Deshpande
Infrastructure is a broad term, it includes various aspects like premises, flooring of the premises, space and so on. Infrastructure has a direct relationship with office lay out. The sitting arrangements, customer lobbies, safe custodies and record rooms form the part of infrastructure. Infrastructure before and after globalization
Infrastructural Problems of Employees
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Review on Environmental sustainability of smallscale biomass power Technologies for agricultural communities in developing countries Mr. Gage Sachin M, Mr. Wani Chandrashekar N
Agricultural wastes are readily available in farming communities and can be utilised for off-grid electrification as an alternative to diesel generators. This work evaluates for the first time the life cycle environmental sustainability of these small-scale systems in the context of Southeast Asia. Rice and coconut residues are considered for direct combustion and gasification, and livestock manure for anaerobic digestion
Review on Environmental sustainability of smallscale biomass power Technologies for agricultural communities in developing countries
Mr. Gage Sachin M, Mr. Wani Chandrashekar NReview on Environmental sustainability of smallscale
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Analysis of Crime Against Women Using Machine Learning Algorithms Dr.K.Anuradha, K.Janani
In worldwide Crime level is increasing every day. Offense can't be expected since it is either proficient or unplanned. Crime is a cost-effective trouble distressing life value and economic escalation. The particulars of how crime is performed revolutionize depending on the type of nation and society. Prior researches in crime prediction have originated that factors resembling education, deficiency, employment, and circumstances
Evaluation of Career Guidance
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Performance assessment of concrete produced using different types of surface water Nitin U.Thakare, Avinash N.Shrikhande
This research looks into the possibility of using surface water as a concrete mixing water. Three types of surface water were employed as mixing water in concrete, including Futala lake water, Ambazari lake water, and Sonegaon lake water, and the results were compared to concrete created with potable water in terms of mechanical and durability aspects. The purpose of this experiment is to determine how impurities in surface water.
Performance assessment of concrete produced using different types of surface water
Nitin U.Thakare, Avinash N.ShrikhandePerformance assessment of concrete
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An Application of Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV Prof.Vishal Shinde, Miss.Sneha Shet, Miss.Sneha Chauhan, Miss.Suryanjali Verma
Object Detection & Tracking System (ODTS) is combined with a popular deep learning network which is known as Faster RCNN (Faster Regional Convolution Neural Network), for Detecting the Object and Conventional Tracking of objects an algorithm is introduced and is applied for detecting and monitoring unexpected events automatically on CCTVs, the unexpected events can be Wrong-Way Driving or Stopping, Person getting out of the vehicle or Fire
An Application of Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV
Prof.Vishal Shinde, Miss.Sneha Shet, Miss.Sneha Chauhan, Miss.Suryanjali VermaAn Application of Deep Learning Algorithm
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Applications of Machine Learning in The Field of Medical Care Prof. Swapnil Wani, Mr.Dipak Bochkari, Mr.Vivek Alaspure, Mr.Tushar Thube
These years, with ML and AI becoming the hotspot of research, several applications have come forth in each of these areas. It exists as a kind of academic frontier as well as something close to our life. In this trend, the combination of both medical field and machine learning become more emerging. This research paper proposes the idea which remarkably reduced the existing situation of unbalanced medical distribution and resources strain
Applications of Machine Learning in The Field of Medical Care
Prof. Swapnil Wani, Mr.Dipak Bochkari, Mr.Vivek Alaspure, Mr.Tushar ThubeApplications of Machine Learning in The Field
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Alzeimer Disease Prediction Using Machine Learning Algorithms Prof. Satish Manje, Miss.Chetana Vishe, Miss.Niharika Dhanik, Miss.Namita Sonavane
Alzheimer's complaint is the one amongst neurodegenerative diseases. This complaint is a grueling bone because there's no treatment for the complaint. Opinion of the complaint is done but that too at the after stage only. Therefore if the complaint is prognosticated before, the progression of the symptoms of the complaint can be braked down. This paper uses machine literacy algorithms to prognosticate Alzheimer's complaints using cerebral parameters
Alzeimer Disease Prediction Using Machine Learning Algorithms
Prof. Satish Manje, Miss.Chetana Vishe, Miss.Niharika Dhanik, Miss.Namita SonavaneAlzeimer Disease Prediction Using Machine Learning
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Design of a restaurant billing system and data billing synchronization between branches Prof. Swapnil Wani, Mr,Shubham Vekhande, Mr.Sudhir Guntha, Mr.Saurabh Jain
In recent years, the restaurant industry has been one of the most well-known and in-demand industries. E-Bill Resto is a restaurant billing system that was created by collaborating with a number of selling locations/restaurants under the same brand name, all of which are linked to the main firm via a database server. All revenue from restaurant sales may be tracked in real time with an integrated system
Design of a restaurant billing system and data billing synchronization between branches
Prof. Swapnil Wani, Mr,Shubham Vekhande, Mr.Sudhir Guntha, Mr.Saurabh JainDesign of a restaurant billing system
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Location Prediction On Twitter Using Machine Learning Techniques Prof.Swapnil Wani, Mr.Shashank Barve, Mr.Prathamesh Khedekar, Mr.Ankit Yadav
This project predicts the position of a user from the text content of a tweet by applying machine learning methods like Support Vector Machine, Naive Bayes, & Decision Tree. These days, predicting location of a user from various social media sites requires extensive research. For decades, researchers have been researching the automatic detection of places associated with or most relevant to records. As a most visited social networking site
Location Prediction On Twitter Using Machine Learning Techniques
Prof.Swapnil Wani, Mr.Shashank Barve, Mr.Prathamesh Khedekar, Mr.Ankit YadavLocation Prediction On Twitter Using Machine
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Provably Secure and Light Weight Identification Based Data Sharing Protocol in Cloud Environment Prof.Vishal Shinde, Mr. Rushabh Baranwal, Mr. Vignesh Elagandula, Mr. Shubham Tripathi
In a cyber-physical cloud context, Share and store files that is both secure and efficient via authorized physical devices remains a challenge, especially given the variety of devices to obtain access to the service and data. As a result, we describe a lightweight identity-based authenticated data sharing protocol in this work, which allows for safe data exchange among geographically separated objects and clients
Provably Secure and Light Weight Identification Based Data Sharing Protocol in Cloud Environment
Prof.Vishal Shinde, Mr. Rushabh Baranwal, Mr. Vignesh Elagandula, Mr. Shubham TripathiProvably Secure and Light Weight Identification
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Arduino Based Voice Control Robot with Lazer Security Prof. Satish Manje, Mr.Atul Yadav, Mr.Abhishek Shinde, Mr.Bipin Yadav
This study present how a robot responds to voice input. This paper illustrates how a robot interacts with a human by responding to voice commands. This system is quite quick. The first portion of this system is a voice recognition system, followed by a central controller system, and finally a robot. The employment of robots in today's world has spread from industries to everyday life. A healthy interface between people and robotics is critical
Arduino Based Voice Control Robot with Lazer Security
Prof. Satish Manje, Mr.Atul Yadav, Mr.Abhishek Shinde, Mr.Bipin YadavArduino Based Voice Control Robot
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Analysis of Machine Learning Classifiers for Breast Cancer Diagnosis Prof. Satish Manje, Mr.Sainathreddy Bonthu, Mr.Arun Elavarasan, Mr.Aniket Gupta
Breast cancer is a form of cancer which originates in breasts of women. Cancer is caused by uncontrolled cell division or expansion. Breast cancer cells usually form a tumor that can be seen on an X-ray. Breast cancer has become one of the most well-known illnesses among women, resulting in the death of the most prevalent malignancies in women. Early treatment helps to cure malignant growth and prevent its recurrence
Analysis of Machine Learning Classifiers for Breast Cancer Diagnosis
Prof. Satish Manje, Mr.Sainathreddy Bonthu, Mr.Arun Elavarasan, Mr.Aniket GuptaAnalysis of Machine Learning Classifiers
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Implementation of Machine Learning Algorithm on Factors Effecting Divorce Rate Prof. Swapnil Wani, Mr.Soham Patil, Miss.Viral Jangale, Miss.Mayuri Baviskar
As the number of marriages are growing, so does the amount of detachment and separation. The major factors that prompt separation can be numerous, and machine performed different computations to determine how to characterize the variables. The amount of separation can be reduced by this project as this will consists of possible factors leading to divorce. A sample data set has some main features that cause divorce
Implementation of Machine Learning Algorithm on Factors Effecting Divorce Rate
Prof. Swapnil Wani, Mr.Soham Patil, Miss.Viral Jangale, Miss.Mayuri BaviskarImplementation of Machine Learning Algorithm
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House Price Prediction System Using Machine Learning Prof. Gayatri Naik, Master.Dhruv Patil, Master.Rohit Kore, Miss.Priti Ingale
With the help of Python modules, this paper gives an overview of how to predict house expenses using various regression models. The proposed technique took into accountthe more refined components of the property price calculation and offered a more accurate projection. It also goes over the many graphical and numerical techniques that will be used to predict the price of a home. This paper explains what a machine learning-based house
House Price Prediction System Using Machine Learning
Prof. Gayatri Naik, Master.Dhruv Patil, Master.Rohit Kore, Miss.Priti IngaleHouse Price Prediction System Using Machine Learning
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Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques Prof. Gayatri Naik, Mr. Sushant Wani, Mr. Rushikesh Pawar, Mr. Rohan Randhir
Social networking is getting increasingly popular these days. On tourism websites, millions of users evaluate and rate tourist attractions every day. These reviews may be subjected to sentiment analysis, which will aid in determining the popularity of tourism destinations. A ML approach was used to implement sentiment analysis in this research The information came from a number of different travel review websites. The feature extraction techniques
Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques
Prof. Gayatri Naik, Mr. Sushant Wani, Mr. Rushikesh Pawar, Mr. Rohan RandhirTourist Place Reviews Sentiment Classification
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Machine Learning for Web Vulnerability Detection:The Case of Cross-Site Request Forgery Prof.Kanchan Umavane, Mr. Kunal Jain, Prathamesh Vishwakarma, Manoj Verma
In this research, author present an approach for detecting web application vulnerabilities using Machine Learning (ML). Due to their diversity and broad use of bespoke programming approaches, web applications are particularly difficult to analyses. As a result, machine learning highly valuable in web security: It might blend human understanding of web app semantics into mechanized analysis techniques using manually explained data
Machine Learning for Web Vulnerability Detection:The Case of Cross-Site Request Forgery
Prof.Kanchan Umavane, Mr. Kunal Jain, Prathamesh Vishwakarma, Manoj VermaMachine Learning for Web Vulnerability
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A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing Prof. Kanchan Umavane, Miss. Nidhi Sharma, Miss. Vrushali Gadhari, Miss.Vedangi Pawar, Mr. S Mohd Huzaifa
the widespread cloud computing technology, smart phones may now store and access personal information from any location at any time. Consequently, the database security issue in mobile cloud is becoming increasingly serious, impeding the mobile phone usage is increasing cloud. There have been numerous studies undertaken to increase cloud security. However, because mobile devices have very limited processing abilities and power
A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing
Prof. Kanchan Umavane, Miss. Nidhi Sharma, Miss. Vrushali Gadhari, Miss.Vedangi Pawar, Mr. S Mohd HuzaifaA Lightweight Secure Data Sharing Scheme
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Search Rank Fraud and Malware Detection in Google Play Prof. Vishal Shinde, Miss.Sheetal Shilwant, Miss.Akshata Potale, Mr.Prathamesh Sawant
Fake methods of behaving in Google Play, the brilliant widely known Android software market, gasoline seek rank maltreatment and malware has been elevated in massive number. In this paper, we use framework that serves to unearths and use follows left behind, to differentiate each malware and packages uncovered to appearance rank extortion. FairPlay accomplishes greater than 95% precision in arranging great pleasant stage datasets of fake and legit apps
Search Rank Fraud and Malware Detection in Google Play
Prof. Vishal Shinde, Miss.Sheetal Shilwant, Miss.Akshata Potale, Mr.Prathamesh SawantSearch Rank Fraud and Malware Detection in Google Play
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A Study of Blockchain Technology in Farmer's Portal Prof. Namrata Shinde, Miss.Pratima Yadav, Miss.Pranali Pashte, Miss.Ruchita Patil, Miss.Komal Awar
Blockchain may be a methodology within which a authentication of a transaction is unbroken by betokens that of a crypto-currency. The record is maintained transversally, linking many computers during a peer to look network. Agreement, transactions, and therefore the documentation of them outline the economic system of a rustic. They set boundaries and supply security to the assets. Considering the options of blockchain
A Study of Blockchain Technology in Farmer's Portal
Prof. Namrata Shinde, Miss.Pratima Yadav, Miss.Pranali Pashte, Miss.Ruchita Patil, Miss.Komal AwarA Study of Blockchain Technology in Farmer's Portal
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Connecting Social Media To E-Commerce Cold-Start Product Recommendation Using Microblogging Information Prof. Namrata Shinde, Miss. Pradnya Panmand, Miss. Pranjali Kapate, Miss. Aditi Hedau
In last few years, the bounds in the middle of e-commerce and social media have become increasingly dim. Many e-commerce websites support a public login system where buyer can sign up for websites using their social website. network identity such as their Facebook or Instagram accounts. this paper prefer a new solution for a product that starts in the cold recommendation, which aims to recommend products from electronic commerce web pages
Connecting Social Media To E-Commerce Cold-Start Product Recommendation Using Microblogging Information
Prof. Namrata Shinde, Miss. Pradnya Panmand, Miss. Pranjali Kapate, Miss. Aditi HedauConnecting Social Media To E-Commerce Cold-Start
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Blockchain as a Platform for Secure Cloud Computing Services Prof. Vishal Shinde, Mr. Jas Verma, Miss. Mayuri Pawar, Miss. Ruchita Gaikwad
In recent years problems associated with cyber-attacks and privacy of data have increased which is resulting in the speedy growth of Cloud Computing. Secure cloud computing services gets connected on a blockchain platform with the support of this work, which is called cloud@blockchain, which enjoy the notoriety and unchangeable side of blockchain. Cloud@blockchain designs two functions- unidentified file sharing and evaluation
Blockchain as a Platform for Secure Cloud Computing Services
Prof. Vishal Shinde, Mr. Jas Verma, Miss. Mayuri Pawar, Miss. Ruchita GaikwadBlockchain as a Platform for Secure Cloud
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Predicting CO2 Emission Using Machine Learning Prof. Swapnil Wani, Mr. Akash Akhilesh Yadav, Mr.Mihir Mukesh Panchal, Mr. Prashant Vinod Pandey
The Random Forest & SVM are put forward to estimate the outlay of CO2 outpouring. Energy expenditure, such as power and coal energy, is the cause of the aggressive growth in CO2 emissions. The aim is to track co2 emissions gleaned from electrical energy and coal utilized in the manufacturing process. In setup to train and test the model, the statistics on electrical and energy were obtained
Predicting CO2 Emission Using Machine Learning
Prof. Swapnil Wani, Mr. Akash Akhilesh Yadav, Mr.Mihir Mukesh Panchal, Mr. Prashant Vinod PandeyPredicting CO2 Emission Using Machine Learning
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Tomato Leaves Diseases Detection Using Image Processing and Deep Learning Prof.Satish Manje, Mr. Trusharth Pawar, Mr. Khan M. Waseem, Miss.Sneha Sapale
Tomato is a very popular crop, this paper tries to solve the disease-causing problems that farmers face. This research paper attempts to eliminate the harmful side effects of chemicals and pesticides with the help of the Image Processing system. In this study, 10 different types of tomato leaf disease were diagnosed including one healthy class. Farmers can use pictures of affected tomato leaves and it will predict disease
Tomato Leaves Diseases Detection Using Image Processing and Deep Learning
Prof.Satish Manje, Mr. Trusharth Pawar, Mr. Khan M. Waseem, Miss.Sneha SapaleTomato Leaves Diseases Detection
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Machine Learning Algorithm for Stroke Disease Classification Prof. Vishal Shinde, Mr.Nikhil Patil, Mr.Omkar Sonar, Mr.Nishant Shedage
Stroke is the most significant element of death as well as obesity in various countries. This study analyzes CT scan image enhancement data for stroke patients by improving image quality to improve image effects and noise reduction, and using ML algorithms to separate patient images into two subtypes of stroke i.e. ischemic stroke and stroke haemorrhage. Eight ML algorithms are operated in this study to classify stroke i.e., Naive Bayes
Machine Learning Algorithm for Stroke Disease Classification
Prof. Vishal Shinde, Mr.Nikhil Patil, Mr.Omkar Sonar, Mr.Nishant ShedageMachine Learning Algorithm for Stroke Disease Classification
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Analysis and Prediction of Cardiovascular Disease using Machine Learning Classifiers Prof. Vishal Shinde, Mr. Hrithik Kedare, Mr. Rahul Gupta, Mr. Vinit Mahajan
Cardiovascular disorder refers to a variety of issues that encompass narrowed or blocked veins, which can result in a heart assault, chest pain (angina), or stroke. The condition is anticipated via the gadget gaining knowledge of classifier based at the nation of the patient's facet impact. This research is used to look at the presentation of system mastering Tree Classifiers inside the prediction of Cardiovascular disorder (CVD)
Analysis and Prediction of Cardiovascular Disease using Machine Learning Classifiers
Prof. Vishal Shinde, Mr. Hrithik Kedare, Mr. Rahul Gupta, Mr. Vinit MahajanAnalysis and Prediction of Cardiovascular
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Performance Analysis of Machine Learning Classifier for Predicting Chronic Kidney Disease Prof. Vishal Shinde, Mr. Shubham Narayan Bhoir, Mr.Zaid Irfan Khan, Mr. Mrunal Umakant Nagmoti
In today’s life everyone has been trying to be conscious about health due to workload and busy schedule this gives attention to the health when a it shows symptoms but chronic kidney disease does not shows particular symptoms it is difficult detect and predict, to prevent this best solution prediction and analysis this problem Chronic Kidney Disease (CKD) has the type of chronic disease which means that a it happened calmly over period of specific time
Performance Analysis of Machine Learning Classifier for Predicting Chronic Kidney Disease
Prof. Vishal Shinde, Mr. Shubham Narayan Bhoir, Mr.Zaid Irfan Khan, Mr. Mrunal Umakant NagmotiPerformance Analysis of Machine Learning
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Content Analysis of Messages in Social Networks, Identification of Suicidal Types Prof.Satish Manje, Mr.Shubham Dhawale, Mr.Acchutam Kulthe, Mr.Rohit Ghoshtekar
This project describes a content analysis of text to spot suicidal tendencies and kinds. This article describes the way to make a sentence classifier that uses a neural network created using various libraries created for machine learning within the Python programing language. Attention is paid to the matter of teenage suicide and «groups of death in social networks, the look for ways to prevent the propaganda of suicide among minors
Content Analysis of Messages in Social Networks, Identification of Suicidal Types
Prof.Satish Manje, Mr.Shubham Dhawale, Mr.Acchutam Kulthe, Mr.Rohit GhoshtekarContent Analysis of Messages in Social
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Survey on Machine Learning Techniques for The Diagnosis of Liver Disease Prof. Satish Manje, Miss.Tannaz Inamdar, Miss.Shivani Kamalekar, Miss. Akanksha Shaha
Machine Learning Algorithm focuses on building the model using sample data which is known as training of the data for making decisions or predictions. The project focuses to give a survey and providing a comparative survey of the entire ML techniques for diagnosing and predicting liver disease in Medical Areas, which are been already used for predicting liver disease by several authors, and analyses are based on Sensitivity
Survey on Machine Learning Techniques for The Diagnosis of Liver Disease
Prof. Satish Manje, Miss.Tannaz Inamdar, Miss.Shivani Kamalekar, Miss. Akanksha ShahaSurvey on Machine Learning Techniques
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Federated Data Management Aggregation Framework by using NLP Prof. Swapnil Wani, Miss.Jyoti Gupta, Miss.Namrata Kasturi, Mr.Suraj Yadav
Given the increasing range of heterogeneous information hold on in relative databases, file systems or cloud environments, it has to be simply accessed and semantically connected for any information analysis. The potential of information federation is essentially unrealized, this paper provides associate interactive information federation system by applying large-scale techniques as well as heterogeneous information federation
Federated Data Management Aggregation Framework by using NLP
Prof. Swapnil Wani, Miss.Jyoti Gupta, Miss.Namrata Kasturi, Mr.Suraj YadavFederated Data Management Aggregation